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Human Infection with a Novel Avian-Origin Influenza A (H7N9) Virus

The New England journal of medicine, 2013-05, Vol.368 (20), p.1888-1897

2013

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Proteomic and Metabolomic Characterization of COVID-19 Patient Sera

Cell, 2020-07, Vol.182 (1), p.59-72.e15

2020

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IgG response to spike protein of SARS-CoV-2 in healthy individuals and potential of intravenous IgG as treatment for COVID-19

Virology journal, 2022-11, Vol.19 (1), p.1-186, Article 186

2022

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Performance assessment of the SAPS II and SOFA scoring systems in Hanta virus Hemorrhagic Fever with Renal Syndrome

International journal of infectious diseases, 2017-10, Vol.63 (C), p.88-94

2017

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A detailed epidemiological and clinical description of 6 human cases of avian-origin influenza A (H7N9) virus infection in Shanghai

PloS one, 2013-10, Vol.8 (10), p.e77651

2013

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Randomized control study of the use of faropenem for treating patients with pulmonary tuberculosis

International journal of infectious diseases, 2023-07, Vol.132, p.99-107

2023

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Comment on Cai et al. Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China. Diabetes Care 2020;43:1392-1398

Diabetes care, 2020-10, Vol.43 (10), p.e160-e161

2020

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Mycobacterial identification on homogenised biopsy facilitates the early diagnosis and treatment of laryngeal tuberculosis

Open medicine (Warsaw, Poland), 2020-06, Vol.15 (1), p.508-512

2020

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Establishment and Evaluation of a Prediction Model of BLR for Severity in Coronavirus Disease 2019

Infectious diseases & immunity (Online), 2022-04, Vol.2 (2), p.100-108

2022

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Family outbreak of severe pneumonia induced by H7N9 infection

American journal of respiratory and critical care medicine, 2013-07, Vol.188 (1), p.114-115

2013

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Indole-3-carbinol ameliorates necroptosis and inflammation of intestinal epithelial cells in mice with ulcerative colitis by activating aryl hydrocarbon receptor

Experimental cell research, 2021-07, Vol.404 (2), p.112638-112638, Article 112638

2021

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Randomized trial of lamivudine, adefovir, and the combination in HBeAg-positive chronic hepatitis B

Clinics and research in hepatology and gastroenterology, 2012-12, Vol.36 (6), p.592-597

2012

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Comment on Cai et al. Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China. Diabetes Care 2020;43:1392–1398 / Reply

Diabetes care, 2020-10, Vol.43 (10), p.e160

2020

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THU-471 - Diabetes mellitus (DM) is the strongest risk factor of significant inflammation or fibrosis in chronic hepatitis B (CHB) combined with non-alcoholic fatty liver disease (NAFLD)

Journal of hepatology, 2023-06, Vol.78, p.S638-S639

2023

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Diabetes mellitus (DM) is the strongest risk factor of significant inflammation or fibrosis in chronic hepatitis B (CHB) combined with non-alcoholic fatty liver disease (NAFLD)

Journal of hepatology, 2023-06, Vol.78, p.S638-S639

2023

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HBV DNA integrates into upregulated ZBTB20 in patients with hepatocellular carcinoma

Molecular medicine reports, 2020-07, Vol.22 (1), p.380-386

2020

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Sa1654 ESTABLISHING AND VALIDATING A HEPATIC INFLAMMATION DIAGNOSTIC MODEL FOR CHRONIC HEPATITIS B PATIENTS WITH CONCURRENT HEPATIC STEATOSIS BASED ON MACHINE LEARNING

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1613-S-1614

2024

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Sa1653 PERFORMANCE OF A NOVEL MODEL FOR DIAGNOSING ADVANCED FIBROSIS AND CIRRHOSIS IN CHRONIC HEPATITIS B PATIENTS WITH HEPATIC STEATOSIS IN VARIOUS GROUPS

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1613-S-1613

2024

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Establishment and validation of a diagnostic model for liver inflammation in chronic hepatitis B (CHB) patients concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

Journal of hepatology, 2023-06, Vol.78, p.S724-S725

2023

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SAT-510 - Establishment and validation of a diagnostic model for liver inflammation in chronic hepatitis B (CHB) patients concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

Journal of hepatology, 2023-06, Vol.78, p.S724-S725

2023

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SAT-463 - A diagnostic non-invasive model for liver advanced fibrosis and cirrhosis in chronic hepatitis B (CHB) concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

Journal of hepatology, 2023-06, Vol.78, p.S696-S696

2023

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A diagnostic non-invasive model for liver advanced fibrosis and cirrhosis in chronic hepatitis B (CHB) concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

Journal of hepatology, 2023-06, Vol.78, p.S696

2023

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Sa1634 THE DIAGNOSTIC MODELS BASED ON MACHINE LEARNING FOR IDENTIFYING ADVANCED FIBROSIS AND CIRRHOSIS IN CHRONIC HEPATITIS B PATIENTS WITH CONCUEERNT HEPATIC STEATOSIS

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1607-S-1607

2024

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Derivation and validation of prognostic models for predicting survival outcomes in Acute‐on‐chronic liver failure patients

Journal of viral hepatitis, 2021-12, Vol.28 (12), p.1719-1728

2021

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Machine Learning–Based Models for Advanced Fibrosis and Cirrhosis Diagnosis in Chronic Hepatitis B Patients With Hepatic Steatosis

Clinical gastroenterology and hepatology, 2024-11, Vol.22 (11), p.2250-2260.e12

2024

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Human Infection with a Novel Avian-Origin Influenza A (H7N9) Virus

Proteomic and Metabolomic Characterization of COVID-19 Patient Sera

IgG response to spike protein of SARS-CoV-2 in healthy individuals and potential of intravenous IgG as treatment for COVID-19

Performance assessment of the SAPS II and SOFA scoring systems in Hanta virus Hemorrhagic Fever with Renal Syndrome

A detailed epidemiological and clinical description of 6 human cases of avian-origin influenza A (H7N9) virus infection in Shanghai

Randomized control study of the use of faropenem for treating patients with pulmonary tuberculosis

Comment on Cai et al. Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China. Diabetes Care 2020;43:1392-1398

Mycobacterial identification on homogenised biopsy facilitates the early diagnosis and treatment of laryngeal tuberculosis

Establishment and Evaluation of a Prediction Model of BLR for Severity in Coronavirus Disease 2019

Family outbreak of severe pneumonia induced by H7N9 infection

Indole-3-carbinol ameliorates necroptosis and inflammation of intestinal epithelial cells in mice with ulcerative colitis by activating aryl hydrocarbon receptor

Randomized trial of lamivudine, adefovir, and the combination in HBeAg-positive chronic hepatitis B

Comment on Cai et al. Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China. Diabetes Care 2020;43:1392–1398 / Reply

THU-471 - Diabetes mellitus (DM) is the strongest risk factor of significant inflammation or fibrosis in chronic hepatitis B (CHB) combined with non-alcoholic fatty liver disease (NAFLD)

Diabetes mellitus (DM) is the strongest risk factor of significant inflammation or fibrosis in chronic hepatitis B (CHB) combined with non-alcoholic fatty liver disease (NAFLD)

HBV DNA integrates into upregulated ZBTB20 in patients with hepatocellular carcinoma

Sa1654 ESTABLISHING AND VALIDATING A HEPATIC INFLAMMATION DIAGNOSTIC MODEL FOR CHRONIC HEPATITIS B PATIENTS WITH CONCURRENT HEPATIC STEATOSIS BASED ON MACHINE LEARNING

Sa1653 PERFORMANCE OF A NOVEL MODEL FOR DIAGNOSING ADVANCED FIBROSIS AND CIRRHOSIS IN CHRONIC HEPATITIS B PATIENTS WITH HEPATIC STEATOSIS IN VARIOUS GROUPS

Establishment and validation of a diagnostic model for liver inflammation in chronic hepatitis B (CHB) patients concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

SAT-510 - Establishment and validation of a diagnostic model for liver inflammation in chronic hepatitis B (CHB) patients concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

SAT-463 - A diagnostic non-invasive model for liver advanced fibrosis and cirrhosis in chronic hepatitis B (CHB) concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

A diagnostic non-invasive model for liver advanced fibrosis and cirrhosis in chronic hepatitis B (CHB) concurrent with non-alcoholic fatty liver disease (NAFLD) based on machine learning (ML)

Sa1634 THE DIAGNOSTIC MODELS BASED ON MACHINE LEARNING FOR IDENTIFYING ADVANCED FIBROSIS AND CIRRHOSIS IN CHRONIC HEPATITIS B PATIENTS WITH CONCUEERNT HEPATIC STEATOSIS

Derivation and validation of prognostic models for predicting survival outcomes in Acute‐on‐chronic liver failure patients

Machine Learning–Based Models for Advanced Fibrosis and Cirrhosis Diagnosis in Chronic Hepatitis B Patients With Hepatic Steatosis

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